Hi, I'm Max

Since 2016, I am a research scientist (manager) at FAIR, Meta AI where I have also acted research area lead for Machine Learning and Society & Responsible AI. Before joining FAIR, I was lucky to learn from Tomaso Poggio and Lorenzo Rosasco as a postdoctoral fellow at MIT where I was with the Laboratory for Computational and Statistical Learning and the Center for Brains, Minds and Machines. I have received my PhD with summa cum laude from the Ludwig Maximilian University Munich as a research assistant at Siemens Corporate Technology under the guidance of the one and only Volker Tresp.

Some oƒ the more interesting things that I’ve done recently

• Program Chair for ICLR 2023 in Kigali, Rwanda; first major AI/ML conference located in Africa, 1530% higher African registrations (Fact sheet)
• Outstanding paper award at NeurIPS 2021 for our work on simulation-free generative modeling via Moser Flow.
• High-resolution COVID-19 forecasts, used by New Jersey and New York state response teams, highly weighted in CDC ensemble, incl. in reports to EU commission. Some links:
  • Meta AI blog
  • Model
  • Data
  • NJ Covid-19 Hub
  • Direct Relief
  • The Verge
• Associate Editor for the ACM Journal for Computing and Sustainable Societies.

Some papers that I have published recently

• No Free Delivery Service: Epistemic limits of passive data collection in complex social systems(NeurIPS'24)
• Generalized Schrödinger Bridge Matching (ICLR'24)
• System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes (FAccT'24)
• Three papers accepted at ICML’23
  • On Kinetic Optimal Probability Paths for Generative Models
  • Hyperbolic Image-Text Representations
  • Neural FIM for learning Fisher information metrics from point cloud data
• Group fairness without demographics using social networks (FAccT'23 Video)